Midterm 1 - Notes 5 (Part 1) Flashcards

1
Q

If you have a SNP what does it tell you?

A

That you have increase likelihood that you will get a certain type of disease, not that you will actually get it

  • they are not predictors
  • the linkages are pretty weak so many things can contribute to getting the disease
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2
Q

What is low for many traits?

A

The contribution of individual allele to trait variation

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3
Q

What do GWAS do?

A

They only detect the genetics component of trait variation, not environmental

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4
Q

Comparative genomics

A

Rate of evolutionary change of each position across the genome

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5
Q

If we apply the comparative genomics method, what can we do?

A

Pinpoint sections that are genetically important

- higher chance of being functionally important (you would want to target these genes)

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6
Q

What do you need in for comparative genomics? (2)

A
  1. A lot of genome wide information (where polymorphism exists)
  2. Sequence information of many sequences from species
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7
Q

GERP

A

Genomic Evolutionary Rate Profiling

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8
Q

Genomic evolutionary rate profiling

A

Rates of change for each position across the genome

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9
Q

What does a high score of GERP mean?

A

Little change

- less important function because it is very conserved

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10
Q

What does a low score of GERP mean?

A

Lots of change

- functionally important

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11
Q

Where do most beta-thalassemia variants occur?

A

In small regions with high conservation

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12
Q

What does low rate of evolutionary change mean?

A

Functional important

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13
Q

What can low rate of evolutionary change be used to do?

A

Predict casual variants

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14
Q

What does GERP need? (2)

A
  1. Whole genome sequence information from many individuals

2. Closely related species

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15
Q

What are 2 types of functional data for prodicting impact of change?

A
  1. Promoter analysis
    - eg. known/predicted cis elements
  2. Protein sequence/structure analysis
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16
Q

What is promotor a model impact for?

A

Gene expression

17
Q

What is protein sequence/structure analysis a model impact for?

A

Change for each codon

18
Q

What does predicting impact on changes need? (4)

A
  1. Functional data on promoters
  2. Functional data on protein structures
  3. Whole genome sequence information from many individuals
  4. Closely related species
19
Q

What do whole genome association/ linkage studies do? (4)

A
  1. Look for associated loci
  2. Classify polymorphisms into functional classes
  3. Predict impact on candidate SNPs
  4. Narrows down candidates
20
Q

What are 2 problems with having too many associations?

A
  1. Missed/ weak associations
    - contribution might be too small
  2. Available markers to far way from casual differences for a given population
21
Q

What are 2 possible solutions for having too many associations?

A
  1. Increase population size

2. Increase number of markers

22
Q

What is an example of multiple genotyping approaches?

23
Q

NGS

A

Next generation sequencing

24
Q

Human genome project

A

Sequenced the complete human genome

25
What are 4 components you get from the whole genome sequencing?
1. Association genetics 2. Genome structure 3. Comparative genomics 4. Medical genomics
26
Association genetics (3)
1. Polymorphism discovery - basis for whole genome association studies 2. Allows jump from genetic to physical map - candidate genes 3. Now polymorphism analysis
27
Genome structure (2)
1. Frequency and distribution of genes, repetitive elements, viral integrations, etc... 2. Whole genome duplications
28
Comparative genomics (2)
1. Evolution of genes and gene families 2. Loss and gain of genes on a global scale - how did the new gens and functions evolve
29
Medical genomics (3)
1. Predict/prevent disease 2. Disease diagnosis 3. Individualized treatment and medicine - eg) pharmacogenomics
30
What is the genomic size of mRNA?
2,500bp
31
What is the genomic size of gene size?
20,000bp
32
What is the genomic size of E.coli?
5,000,000bp (5,000 genes)